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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow: Step-by-Step Tutorial For Beginners.
Free Download Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow: Step-by-Step Tutorial For Beginners.
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Product details
Paperback: 144 pages
Publisher: Independently published (July 15, 2018)
Language: English
ISBN-10: 1731394160
ISBN-13: 978-1731394163
Product Dimensions:
6 x 0.4 x 9 inches
Shipping Weight: 9.6 ounces (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
23 customer reviews
Amazon Best Sellers Rank:
#132,023 in Books (See Top 100 in Books)
I bought this book to follow along with. it starts talking about a file in a directory student_marks.csv - without ever mentioning any download anywhere.I have search back and forth in the first 39 pages (where it starts assuming we have this file) and cannon find any reference to a download. Can't follow along without the data :(
I found this book to be very clearly written and also very informative since in addition to providing code examples it tried to illustrate the basics of theory behind what makes machine learning work.The explanations were mainly done by showing examples of data on a x-y plot and how the different techniques separate the data to make a decision. This is a nice way to reduce the complexity of explanation and getting lost in the details of the mathematics and programming syntax etc and to get at the heart of where different algorithms have strengths.This is review is from the perspective of someone who knows a little python and had little knowledge of machine learning, but has kind of seen neural nets and regressions used in different applications over the years.Part of its usefulness to me is that it gives me a nice way to explain machine learning to non-scientists.
This is a book for those who want to understand machine learning algorithm, and then try out the algorithm using Scikit-Learn or TensorFlow. Minimal mathematics formulas are used, which is good, as I prefer the explanation of the idea, instead of decoding the method. I recommend this book for everyone. It seems cheaper but excellent.
The content was very clear. I have not found a better explanation of Deep Learning concepts along with accompanying TensorFlow implementation. Great job by author to keep it so simple and yet covering the concepts exhaustively. I highly recommend it.
if the command runs without an error, know that the installation of learn was successful. if the command generates an error, note that the installation was not successful.
Excellent book. The information provided is a fantastic introduction to machine learning and deep learning with Tensorflow and scikit-learn.
Excellent!!This book is an amazing read for one want to learn basic machine learning .
I'm about a quarter of the way through this book. Seems well organized and I haven't found any issues except one: The sample data files (CSV format) are not provided. No link is provided either. I created my own data file for the first exercise but it wasn't good data. For the fuel consumption I'm having trouble coming up with the data set. On the following chapters the author does provide links to databases. GitHub please?
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